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Arxiv
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Binary AddiVortes: (Bayesian) Additive Voronoi Tessellations for Binary Classification with an application to Predicting Home Mortgage Application Outcomes
- The Additive Voronoi Tessellations (AddiVortes) model is extended for binary classification using a probit model with a latent variable formulation.
- The AddiVortes model outperforms random forests, BART, and other black-box regression models in most cases.
- A study using AddiVortes to predict mortgage approval likelihood shows its effectiveness in capturing complex relationships within the data.
- The model has the potential to improve decision-making in mortgage approval processes.
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